{"id":"W4406944827","doi":"10.1093/ofid/ofae631.633","title":"P-433. Impact of Tesamorelin on Cardiovascular Disease Risk Prediction Scores in Phase 3 Studies Treatment Arms: Subanalysis","year":2025,"lang":"en","type":"article","venue":"Open Forum Infectious Diseases","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Theratechnologies (Canada)","funders":"","keywords":"Medicine; Internal medicine; Disease","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02454287,0.001593933,0.003886994,0.0008784993,0.0004739142,0.0022416,0.001284789,0.001531586,0.009301388],"category_scores_gemma":[0.02943606,0.0005809081,0.02227232,0.001504308,0.0008862308,0.00126308,0.001549828,0.002456962,0.0008444734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007482561,"about_ca_system_score_gemma":0.001511929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008761399,"about_ca_topic_score_gemma":0.0009094289,"domain_scores_codex":[0.9731998,0.01961327,0.001846938,0.002204649,0.002008905,0.00112634],"domain_scores_gemma":[0.9803157,0.01355716,0.0025485,0.002097925,0.001100222,0.0003803156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.5266976,0.001693351,0.0803853,0.007132149,0.3139827,0.0004461763,0.0004139151,0.003469267,0.003967587,0.00123205,0.01001923,0.0505607],"study_design_scores_gemma":[0.1499856,0.06981457,0.3231917,0.001198688,0.3942408,0.0007316402,0.0005533143,0.01801387,0.006441662,0.005899828,0.02967958,0.0002486527],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9042813,0.0232793,0.02482692,0.001615893,0.001104563,0.01398855,0.01961696,0.0007350891,0.01055131],"genre_scores_gemma":[0.9762622,0.00107891,0.005353803,0.0009332101,0.0001550318,0.01001519,0.003363487,0.0001283981,0.002709763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02454287,"threshold_uncertainty_score":0.1297966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02053286473923024,"score_gpt":0.3447998369719441,"score_spread":0.3242669722327138,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}